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Designing effective business analytics (BA) platforms that visualise data, provide deep insights and support data-driven decision-making is a challenging task. Understanding the elements shaping BA platform design is crucial for success. The purpose of this study is to explore the impact of visualisation on usability (UI) and user experience (UX) while emphasising the importance of insights understanding in BA platform design.

This paper presents a case study following a startup’s journey as it undergoes two redesign phases for its BA platform. A combination of quantitative and qualitative methods is used to assess UX/UI and insights understanding of the platform. Indicatively this included semi-structured interviews, observations, think-aloud techniques and surveys to monitor runtime per task, number of errors, users’ emotions and users’ understanding.

Our findings suggest that modifications in aesthetics and information visualisation positively influence overall usability, UX, and understanding of platform insights – a critical aspect for the success of the startup.

Our goal is not to make a methodological contribution, but to illustrate how companies, constrained by time and pressure, navigate platform changes without meticulous design and provide learnings on important elements while designing BA platforms.

This paper concludes with suggested methods for assessing BA platforms and recommends practical practices to follow. These practices include recommendations on important elements for BA platform users, such as navigation and interactivity, user control and personalisation, visual consistency and effective visualisation.

This study contributes to practice as it presents a real-life case and offers valuable insights for practitioners.

This study aims to evaluate the usability of Google Drive (GD) in addition to measuring the effectiveness of GD and the challenges faced while using this cloud storage application among public library users of Lahore.

The study adopted a sequential explanatory mixed method design comprising the quantitative (QUAN) and qualitative (QUAL) parts. For the QUAN phase, a questionnaire survey was conducted among 384 users of public libraries through purposive sampling. For the QUAL phase, the think aloud technique was performed on several tasks during experiments and verbalized their thoughts and experiences while interacting with the system. The cloud usability model (CUM) was used to measure the “usability” of GD.

Findings indicated that most users were satisfied with GD's obvious features and inherent functions. QUAL results indicated that respondents did most tasks easily, whereas only some could complete the task.

The study is valuable as it is the first time used CUM to measure the perceived usability of GD. Second, the study used a mixed method study to get insights into perceived usability, effectiveness and challenges while using GD. The findings might be helpful for cloud support teams, including GD, as they can enhance certain features of usability, which lead to increased usage among users.

This research work is based on MPhil thesis.

Seafood consumption in Sweden is below the national recommendations and limited to very few species. This study aims to explore the factors shaping seafood choices at the point of purchase among a sample of current consumers in Sweden, and examines their attitudes regarding seafood consumption more broadly.

Convenience sampling was used to recruit consumers planning to purchase seafood at a supermarket in Sweden. Participants’ shopping trip was recorded using wearable eye tracking glasses and, upon completion, semi-structured interviews were conducted using a cued retrospective think aloud method. This exploratory study integrates qualitative data (N = 39) with eye tracking data (N = 34), to explore how seafood choices unfold when consumers purchase at the point of purchase.

Purchases were mostly restricted to familiar seafood species. Four interlinked main themes were identified from thematic analysis of the interview data: Ambivalence, Nice and Necessary, Proficiency with Seafood and External Influences. Sustainability information (e.g. certifications) faced strong competition from other visual elements at the point of purchase, receiving less attention than product imagery and pricing information.

This study is the first to explore the factors shaping seafood choices of current consumers at the point of purchase. The unique approach, combining explicit and implicit measures, enriches understanding of the factors influencing seafood choices and how these may interrelate. The results are valuable for the industry and contribute to the literature by identifying possible routes to improve seafood sustainability communication.

The purpose of this study is to understand user perceptions and misconceptions regarding security tools. Security and privacy-preserving tools (for brevity, the authors term them as “security tools” in this paper, unless otherwise specified) are designed to protect the security and privacy of people in the digital environment. However, inappropriate use of these tools can lead to unexpected consequences that are preventable. Hence, it is significant to examine why users do not understand the security tools.

The authors conducted a qualitative study with 40 participants in the USA to investigate the prevalent misconceptions of people regarding security tools, their perceptions of data access and the corresponding impact on their usage behavior and data protection strategies.

While security vulnerabilities are often rooted in people’s internet usage behavior, this study examined user’s mental models of the internet and unpacked how the misconceptions about security tools relate to those mental models.

Based on the findings, this study offers recommendations highlighting the design aspects of security tools that need careful attention from researchers and industry practitioners, to alleviate users’ misconceptions and provide them with accurate conceptual models toward the desired use of security tools.

The Social Norms Approach (SNA) is a health behaviour intervention which promotes positive behaviour change by challenging and reducing misperceived social norms of peer behaviours and attitudes. This study reports a novel qualitative evaluation of an in-school SNA intervention which aimed to reduce 11-to-12-year-old students’ unhealthy snacking behaviours by reducing misperceived peer norms.

A qualitative evaluation of seven teachers’ and eighteen students’ experiences of taking part in the SNA intervention based on focus group discussions and an open-ended survey.

An inductive reflexive thematic analysis indicated that the SNA intervention was an effective and engaging means of delivering normative feedback to younger adolescents. The use of a paper-and-pens creative poster-making activity, where students were tasked with designing the intervention materials featuring normative feedback based on their baseline data, encouraged students to discuss and reflect on the discrepancies between their perceived norms and the actual reported unhealthy snacking norms. Challenges were identified with ensuring intervention fidelity and in students’ understanding of how to record survey responses using Likert scales.

This study demonstrates the usefulness of exploring post-intervention perceptions of SNA interventions, particularly from the perspective of the intended recipients. The study also provides useful information for those intending to develop in-school SNA interventions in the future, particularly the importance of involving participants in the designing of intervention materials as a means of promoting engagement with an SNA-based dietary behaviour intervention.

The European funded project ADLIFE focuses on the application of digitally enabled integrated care for people with advanced chronic diseases. The implementation of the ADLIFE intervention required a robust practical tool that would be common to all pilot sites while allowing flexibility for local variations as well as the ability to adapt to unanticipated changes and problems.

The ADLIFE project combined the concepts of implementation research and formative evaluation with the standardized operating procedures (SOP) methodology. The ADLIFE project significantly modified the SOP approach and used it as a means to not only to define and organize the tasks that needed to be performed in preparing and implementing the ADLIFE intervention but also to create a deeper understanding of the unique challenges faced in each site, as well as a method for achieving a consensus.

The ADLIFE SOPs were developed by a dedicated working group, and they encompassed the preparatory phase leading up to implementation of the intervention. The SOP was also the basis for monitoring the implementation, and this created a structure for the dynamic ongoing tactical and even strategic changes necessitated by local diversity as well as many unanticipated changes.

The SOP methodology was useful in supporting the development of the ADLIFE SOP, which was a consensus-based approach to guide for managing the implementation process, both at project and local levels. It has supported continuous improvement and learning throughout the project. Both the process and the SOP produced by the process can be readily adapted and used in other similar projects.

This study aims to explore children’s cognitions about data flows online and their understandings of algorithms, often referred to as algorithmic literacy or algorithmic folk theories, in their everyday uses of social media and YouTube. The authors focused on children ages 8 to 11, as these are the ages when most youth acquire their own device and use social media and YouTube, despite platform age requirements.

Nine focus groups with 34 socioeconomically, racially and ethnically diverse children (8–11 years) were conducted in California. Groups discussed data flows online, digital privacy, algorithms and personalization across platforms.

Children had several misconceptions about privacy risks, privacy policies, what kinds of data are collected about them online and how algorithms work. Older children had more complex and partially accurate theories about how algorithms determine the content they see online, compared to younger children. All children were using YouTube and/or social media despite age gates and children used few strategies to manage the flow of their personal information online.

The paper includes implications for digital and algorithmic literacy efforts, improving the design of privacy consent practices and user controls, and regulation for protecting children’s privacy online.

Research has yet to explore what socioeconomically, racially and ethnically diverse children understand about datafication and algorithms online, especially in middle childhood.

Cyber security incidents pose a major threat to organisations. Reporting cyber security incidents and providing organisations with information about their true nature, type and volume, is crucial to inform risk-based decisions. Despite the importance of reporting cyber security incidents, little research has addressed employees’ motivations to do so. Therefore, the purpose of this study is to investigate the factors that influence employees to report cyber security incidents using the theory of planned behaviour as a theoretical framework.

Survey data were collected from a sample of 549 working Australian adults. Demographics were gathered, in addition to data using the Cyber Security Incident Reporting Inventory (CSIRI; pronounced, “Siri”).

Attitude towards reporting, subjective norms and perceived behavioural control each significantly predicted intention-to-report cyber security incidents. Perceived behavioural control also significantly predicted actual reporting behaviour.

The results of this study validate the application of the theory of planned behaviour to the cyber security incident reporting context, also indicating that the relationship between intention to report a cyber security incident and actual reporting behaviour may be facilitated by perceived behavioural control.

These findings can be applied to inform the development of strategies that increase employees’ cyber security incident reporting behaviour.

This study outlines the development of a new tool to measure attitudes, subjective norms and perceived behavioural control in relation to the reporting of cyber security incidents. To the best of the authors’ knowledge, this is the first study of its kind to identify the relationship between these factors and intentions to report cyber security incidents.

This analysis of chat reference transcripts assesses differences in how librarians and graduate assistants (GAs) incorporate teaching strategies in responding to chat reference inquiries in social sciences, health sciences, humanities, STEM and business/economics at a large, public R1 university in the United States.

Researchers with disciplinary assignments in five different subject domains conducted qualitative analysis of a purposive sample of 982 transcripts of chat interactions during four semesters in 2021 and 2022.

Some form of information literacy instruction (ILI) occurred in 58% of the transcripts, with slightly less teaching occurring in social sciences inquiries than in other subject areas. Of transcripts that included teaching strategies, search procedures predominated, followed by a mix of concepts and procedures, and the least with concepts only. Chat providers taught concepts specific to social sciences, health sciences and humanities, but not to STEM or business.

The study compares transcripts at one institution; findings may be most applicable to large, research institutions that seek to incorporate ILI in online reference services.

Chat reference training should include best practices for ILI relevant to specific subject domains for providers without background in those disciplines and recommendations for referrals to subject specialists.

Existing ILI literature does not address the question of how chat providers teach concepts rooted in a specific subject domain or offer a comparison of teaching strategies employed in different disciplines, by librarians versus GAs or staff.

The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.

This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.

The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.

While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.